EP3480153B1 - Energiespeicherverwaltungssystem - Google Patents

Energiespeicherverwaltungssystem Download PDF

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Publication number
EP3480153B1
EP3480153B1 EP17200334.5A EP17200334A EP3480153B1 EP 3480153 B1 EP3480153 B1 EP 3480153B1 EP 17200334 A EP17200334 A EP 17200334A EP 3480153 B1 EP3480153 B1 EP 3480153B1
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EP
European Patent Office
Prior art keywords
data
energy storage
allocation
passenger transport
transport installation
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EP17200334.5A
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English (en)
French (fr)
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EP3480153A1 (de
Inventor
Pekka PERUNKA
Pekka PERÄLÄ
Tapio Tyni
Janne ÖFVERSTEN
Ari HÄNNINEN
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Kone Corp
Original Assignee
Kone Corp
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Priority to EP17200334.5A priority Critical patent/EP3480153B1/de
Priority to US16/168,502 priority patent/US11891272B2/en
Priority to CN201811311501.6A priority patent/CN109755946A/zh
Publication of EP3480153A1 publication Critical patent/EP3480153A1/de
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00—Control systems of elevators in general
    • B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
    • B66B1/2408—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration where the allocation of a call to an elevator car is of importance, i.e. by means of a supervisory or group controller
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00—Control systems of elevators in general
    • B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
    • B66B1/28—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical
    • B66B1/30—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical effective on driving gear, e.g. acting on power electronics, on inverter or rectifier controlled motor
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B1/00—Control systems of elevators in general
    • B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
    • B66B1/28—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical
    • B66B1/30—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical effective on driving gear, e.g. acting on power electronics, on inverter or rectifier controlled motor
    • B66B1/302—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical effective on driving gear, e.g. acting on power electronics, on inverter or rectifier controlled motor for energy saving
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J1/00—Circuit arrangements for dc mains or dc distribution networks
    • H02J1/10—Parallel operation of dc sources
    • H02J1/106—Parallel operation of dc sources for load balancing, symmetrisation, or sharing
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass

Definitions

  • Passenger transport installations for example, elevators
  • batteries for providing backup power usage for critical systems, enabling, for example, rescue functionality and allowing uninterrupted operation during a power failure.
  • the battery is heavily underutilized during its lifetime.
  • US 2014/166407 A1 discloses an elevator installation with an elevator unit, which is connected with a power supply mains, and the elevator installation is controllable by an elevator control with consideration of first control information based on local requirements of users.
  • the elevator control receives from the power supply mains second control information containing status data for the power supply mains.
  • the first and second control information is evaluated by the elevator control.
  • the elevator control influences operation, which is determined by the first control information, of the elevator installation in dependence on the second control information so as to enable desired operation in terms of energy.
  • a monitoring unit which determines status data for the power supply mains and provides information for the consumers, is connectible with the power supply mains.
  • the monitoring unit creates second control information for the elevator control in dependence on loading of the power supply mains.
  • a solution is provided that optimizes the allocation of capacity of an energy storage associated with at least one passenger transport installation for different uses or applications.
  • a method for allocating capacity of at least one energy storage associated with at least one passenger transport installation comprises continuously monitoring performance data of the at least one energy storage; obtaining first data associated with operating the at least one passenger transport installation; and identifying different uses for the energy stored in the at least one energy storage.
  • the method further comprises determining an allocation of energy storage capacity available for the different uses based on the performance data and the first data; and applying the determined allocation. This may provide a solution that optimizes the allocation of capacity of at least one energy storage associated with at least one passenger transport installation for different uses or applications within a building or an otherwise reduced local area.
  • the different uses may refer, for example, to peak power shaving, local renewable energy optimization or backup power for the at least one passenger transport installation.
  • the method comprises obtaining second data from at least one external data source, the second data being independent from operating the at least one passenger transport installation; and determining the allocation of the energy storage capacity available for the different uses based on the performance data, the first data and the second data.
  • This may provide a centrally-controllable solution that optimizes the allocation of capacity of at least one energy storage associated with at least one passenger transport installation for different uses or applications within a building or otherwise reduced local area or even within several buildings or an otherwise larger area, such as a fleet of elevators.
  • the first data comprises at least one of traffic forecast data or load forecast data of the at least one passenger transport installation.
  • Traffic information may be obtained from any suitable data provider, such as access control systems, proximity sensors, cameras etc.
  • the second data comprises at least one of weather forecast data, utility signal data, grid frequency measurement data, grid voltage measurement data, locally produced energy data (for example, solar photovoltaic load profile data), building load data, electricity cost data, or demand response market data.
  • Grid voltage measurement data may be used to regulate the grid voltage with the energy storage. This is beneficial, for example, if the voltage grid is weak, such as a microgrid with small local electricity providers, such as wind generators and/or solar power plants.
  • determining an optimal allocation of energy storage capacity available for different uses comprises determining allocation for at least one of a demand response, frequency regulation, peak power shaving, local renewable energy optimization, such as solar photovoltaic optimization, or backup power for the at least one passenger transport installation.
  • the allocation may be determined also for voltage control and/or load shifting.
  • the performance data comprises at least one of a charge state, a charge cycle, a load profile, a health state or the maximum charging and discharging current or power of the at least one energy storage.
  • the method further comprises sending data relating to an allocation of energy storage capacity available for at least one of demand response, frequency regulation, grid voltage regulation or local renewable energy optimization uses to an external control platform; receiving an activation signal from the external control platform instructing to implement power grid balancing functions; and taking the activation signal into account in determining the allocation of the energy storage capacity available for the different uses.
  • an energy storage management system for allocating capacity of at least one energy storage associated with at least one passenger transport installation.
  • the system comprises means for continuously monitoring performance data of the at least one energy storage; means for obtaining first data associated with operating the at least one passenger transport installation; and means for identifying different uses for the energy stored in the at least one energy storage.
  • the system further comprises means for determining an allocation of energy storage capacity available for the different uses based on the performance data and the first data; and means for applying the determined allocation. This may provide a solution that optimizes the allocation of capacity of at least one energy storage associated with at least one passenger transport installation for different uses or applications within a building or an otherwise reduced local area.
  • the different uses may refer, for example, to peak power shaving, local renewable energy optimization or backup power for the at least one passenger transport installation.
  • the system comprises means for obtaining second data from at least one external data source, the second data being independent from operating the at least one passenger transport installation; and means for determining the allocation of the energy storage capacity available for the different uses based on the performance data, the first data and the second data.
  • This may provide a centrally-controllable solution that optimizes the allocation of capacity of at least one energy storage associated with at least one passenger transport installation for different uses or applications within a building or otherwise reduced local area or even within several buildings or an otherwise larger area, such as a fleet of elevators.
  • the first data comprises at least one of traffic forecast data or load forecast data of the at least one passenger transport installation.
  • Traffic information may be obtained from any suitable data provider, such as access control systems, proximity sensors, cameras etc.
  • the second data comprises at least one of weather forecast data, utility signal data, grid frequency measurement data, grid voltage measurement data, locally produced energy data (for example, solar photovoltaic load profile data), building load data, electricity cost data, or demand response market data.
  • Grid voltage measurement data may be used to regulate the grid voltage with the energy storage. This is beneficial, for example, if the voltage grid is weak, such as a microgrid with small local electricity providers, such as wind generators and/or solar power plants.
  • the means for determining an allocation of energy storage capacity available for different uses are configured to determine the allocation for at least one of a demand response, frequency regulation, peak power shaving, local renewable energy optimization, such solar photovoltaic optimization, or backup power for the at least one passenger transport installation.
  • the allocation may be determined also for voltage control and/or load shifting.
  • the performance data comprises at least one of a state of the charge, a charge cycle, a load profile, a health state or the maximum charging and discharging current or power of the at least one energy storage.
  • the system further comprises means for sending data relating to an allocation of energy storage capacity available for at least one of demand response or frequency regulation, grid voltage regulation or local renewable energy optimization uses to an external control platform; means for receiving an activation signal from the external control platform instructing to implement power grid balancing functions; and means for taking the activation signal into account in determining the allocation of the energy storage capacity available for the different uses.
  • a computer program comprising program code to cause the energy storage management system of the second aspect to perform the method of the first aspect.
  • a computer readable medium comprising program code to cause the energy storage management system of the second aspect to perform the method of the first aspect.
  • the above discussed means may be implemented, for example, using at least one processor, at least one processor and at least one memory connected to the at least one processor, or at least one processor, at least one memory connected to the at least one processor and an input/output interface connected to the at least one processor.
  • FIG. 1 illustrates a block diagram of a system for dynamically allocating capacity of an energy storage associated with at least one passenger transport installation according to an aspect.
  • An energy storage management system 100 may be coupled to at least one passenger transport installation 102A, 102B, 102C in a building, for example, to elevators, escalators or conveyers.
  • the energy storage management system 100 may be coupled to, for example, an individual elevator or to a group of elevators.
  • At least one energy storage 104 may be associated with at least one of the passenger transport installations 102A, 102B, 102C.
  • the energy storage management system 100 may also be coupled to external data sources 106 and an external control platform, which may be a control platform 108 configured to aggregate a plurality of power management capacities into a larger resource.
  • the energy storage management system 100 may also control one or more of the at least one energy storage 104. Further, the control platform 108 may simultaneously control one or more energy storage management systems 100.
  • the energy storage 104 is only used for providing backup power usage for critical systems, enabling, for example, rescue functionality and allowing uninterrupted operation during power failure.
  • the battery is heavily underutilized during its lifetime.
  • the description illustrates a solution that aims to maximizing energy storage usage and enables providing a range of additional services with the energy storage 104.
  • the solution dynamically optimizes and allocates the share of available energy storage capacity of the at least one energy storage 104 associated with the passenger transport installations 102A, 102B, 102C for different uses.
  • FIG. 2 illustrates a flow diagram of a method for dynamically allocating capacity of an energy storage 104 associated with at least one passenger transport installation 102A, 102B, 102c according to an aspect.
  • performance data of the energy storage 104 is continuously monitored.
  • the performance data of the energy storage may comprise a charge state, a charge cycle, a load profile, a health state and/or the maximum charging and discharging current or power of the at least one energy storage 104.
  • first data associated with the operating the at least one passenger transport installation is obtained.
  • the first data may comprise a traffic forecast data or a passenger transport installation load forecast data.
  • the first data may refer to any data that is provided by the system operating the at least one passenger transport installation.
  • an allocation of energy storage capacity available for the different uses is determined based on the performance data and the first data.
  • the available energy storage capacity may be allocated, for example, for at least one of a demand response, frequency regulation, peak power shaving, local renewable energy optimization, such as solar photovoltaic optimization, or backup power for the at least one passenger transport installation.
  • the solar photovoltaic optimization may refer to charging the energy storage with solar energy when the production of solar panels is greater than the demand.
  • second data from at least one external data source is obtained, the second data being independent from operating the at least one passenger transport installation.
  • the second data may comprise at least one of weather forecast data, utility signal data, grid frequency measurement data, solar photovoltaic load profile data, building load data, electricity cost data, or demand response market data.
  • the electricity cost may refer, for example, to an hourly price of electricity in the electricity market or a demand charge for peak electricity usage.
  • the second data may be used in determining the allocation of energy storage capacity available for the different uses.
  • the determined allocation is dynamically applied. This may mean that the determined allocation may not be fixed, but varies as a function of time.
  • the above illustrated process may be continuous so that the process is repeated continuously at predetermined time intervals.
  • the data relating to allocation of energy storage capacity available for at least one of demand response or frequency regulation uses is sent to the external control platform 108.
  • an activation signal may be received from the external control platform 108 instructing to implement power grid balancing functions. Thereafter, the activation signal may be taken into account in determining the allocation of the energy storage capacity available for the different uses.
  • the activation signal may comprise, for example, a request for load curtailment for the next five seconds or for a specific amount of energy. As an example, if there is a need to curtail load of a specific energy amount for a predetermined time, the energy storage management system may feed energy from the energy storage to support the load power or even back to the power grid for the requested time period.
  • FIG. 3 illustrates a graph of allocating energy storage capacity according to an aspect.
  • the graph illustrates that the available energy storage capacity can be divided differently as a function of time, as illustrated by references 310, 312 and 314.
  • the available capacity has been allocated for five different uses or applications: backup power 300, local renewable energy optimization 302, peak power shaving 304, demand response 306 and frequency regulation 308. It is evident that the number of uses or applications may be less or higher than five. Further, the total available capacity to be shared between the uses may also vary as a function of time.
  • a larger share of the available capacity of the at least one energy storage may be allocated for back-up power 300 to ensure uninterrupted operation.
  • Traffic forecasts may be also used to estimate optimal timing to charge the energy storage with regenerated energy when it is coupled to a regenerative power source.
  • the allocation for back-up power 300 may be optimized to ensure only minimum rescue functionality.
  • the energy storage management system 100 may obtain information on weather and solar photovoltaic load profile, for example, from solar panels connected to a building in order to determine when it is optimal to charge the energy storage with excess solar energy left over from feeding the building load.
  • the at least one energy storage 104 may also be charged from the power grid during low-priced electricity or to provide source of night-time load for the grid.
  • Power demand of some installations is extremely volatile. Short peaks in power demand may be up to 30 times as high as the average demand resulting in significant transient peaks in a building power demand.
  • the energy storage management system 100 may reduce peak power demand by allocating a share of energy storage capacity for peak power shaving 304, for example, based on load forecasts and electricity cost data indicating high demand charges.
  • larger share may be allocated for demand response 306 and frequency regulation 308 when incentives are higher.
  • a plurality of energy storage management systems may be communicatively connected to an external control platform enabling them to provide grid services as an aggregated resource. By combining plurality of energy storages into a larger resource, they can participate in market auctions offering their combined reserve for use in the demand response markets.
  • the demand response may refer to shifting power load according to external signals, such as electricity price or utility signals, from high-demand moments to low-demand moments.
  • the demand response may also refer to temporarily adjusting consumption for balancing a power system in return to incentive payments from the grid operator or savings in the electricity bill.
  • Demand response market places comprise, among others, frequency controlled reserve and balancing power markets for enabling fast balancing of the power system.
  • Frequency controlled reserves perform frequency regulation, which means adjusting load and/or production when power grid frequency drifts from its nominal value in order to balance the demand.
  • the grid frequency fluctuates constantly, and fast assets provide particularly valuable reserve enabling timely corrections.
  • Energy storage technologies may be used as a fast asset, since they can perform regulation even on a second-level.
  • FIG. 4 illustrates a block diagram of an energy storage management system 100 for dynamically allocating capacity of at least one energy storage 104 associated with at least one passenger transport installation 102A, 102B, 102C according to an aspect.
  • the illustrated energy storage management system 100 can include a controller or processor 402 (e.g., signal processor, microprocessor, ASIC, or other control and processing logic circuitry) for performing such tasks as signal coding, data processing, input/output processing, power control, and/or other functions.
  • the energy storage management system 100 can include a memory or memories 404.
  • the memory 404 can include non-removable memory and/or removable memory.
  • the non-removable memory can include RAM, ROM, flash memory, a hard disk, or other well-known memory storage technologies.
  • the memory 404 can be used for storing data and/or code for running one or more applications.
  • the energy storage management system 100 may comprise an input/output interface enabling the energy storage management system 100 to communicate with other apparatuses.
  • the energy storage management system 100 may further comprise a network interface 406 enabling communication with external devices or networks.
  • the network interface 406 may include a wired or wireless transceiver for communicating with the external devices or networks.
  • the memory 404 may store operating system software 408 that controls the operations of the energy storage management system 100.
  • the memory 404 may also comprise one or more applications 410 that can be executed by the processor 402.
  • the illustrated components of the energy storage management system 100 are all-inclusive, as any components can deleted and other components can be added.
  • the at least one memory 404 may store program instructions that, when executed by the at least one processor 402, cause the energy storage management system 100 to continuously monitor performance data of the at least one energy storage, obtain first data associated with operating the at least one passenger transport installation, identify different uses for the energy stored in the energy storage, determine an allocation of energy storage capacity available for the different uses based on the performance data and the first data, and apply the determined allocation.
  • any combination of the illustrated components disclosed in FIG. 4 may constitute means for continuously monitoring performance data of the at least one energy storage, means for obtaining first data associated with operating the at least one passenger transport installation, means for identifying different uses for the energy stored in the energy storage, means for determining an allocation of energy storage capacity available for the different uses based on the performance data and the first data, and means for applying the determined allocation.
  • the above illustrated solution may provide at least some of the following effects.
  • the level of energy storage utilization significantly increases.
  • the solution also offsets the expensive capital investment in back-up power capacity.
  • the more efficient use of energy storage capacity helps in mitigating peak power in installations with highly volatile load, thus lowering the capacity requirements for building power distribution system, such as the cost of feeder cables, transformers, UPS, and back-up power generators.
  • the use of on-site solar power consumption can be maximized, and simultaneously mitigate the need for multiple energy storages in same building.
  • the solution advantageously helps in stabilizing the power grid.
  • Example embodiments may be implemented in software, hardware, application logic or a combination of software, hardware and application logic.
  • the example embodiments can store information relating to various methods described herein. This information can be stored in one or more memories, such as a hard disk, optical disk, magneto-optical disk, RAM, and the like.
  • One or more databases can store the information used to implement the example embodiments.
  • the databases can be organized using data structures (e.g., records, tables, arrays, fields, graphs, trees, lists, and the like) included in one or more memories or storage devices listed herein.
  • the methods described with respect to the example embodiments can include appropriate data structures for storing data collected and/or generated by the methods of the devices and subsystems of the example embodiments in one or more databases.
  • All or a portion of the example embodiments can be conveniently implemented using one or more general purpose processors, microprocessors, digital signal processors, micro-controllers, and the like, programmed according to the teachings of the example embodiments, as will be appreciated by those skilled in the computer and/or software art(s).
  • Appropriate software can be readily prepared by programmers of ordinary skill based on the teachings of the example embodiments, as will be appreciated by those skilled in the software art.
  • the example embodiments can be implemented by the preparation of application-specific integrated circuits or by interconnecting an appropriate network of conventional component circuits, as will be appreciated by those skilled in the electrical art(s).
  • the examples are not limited to any specific combination of hardware and/or software.
  • the examples can include software for controlling the components of the example embodiments, for driving the components of the example embodiments, for enabling the components of the example embodiments to interact with a human user, and the like.
  • Such computer readable media further can include a computer program for performing all or a portion (if processing is distributed) of the processing performed in implementing the example embodiments.
  • Computer code devices of the examples may include any suitable interpretable or executable code mechanism, including but not limited to scripts, interpretable programs, dynamic link libraries (DLLs), Java classes and applets, complete executable programs, and the like.
  • a "computer-readable medium” may be any media or means that can contain, store, communicate, propagate or transport the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer.
  • a computer-readable medium may include a computer-readable storage medium that may be any media or means that can contain or store the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer.
  • a computer readable medium can include any suitable medium that participates in providing instructions to a processor for execution. Such a medium can take many forms, including but not limited to, non-volatile media, volatile media, transmission media, and the like.

Claims (16)

  1. Verfahren zum Zuweisen einer Kapazität mindestens eines Energiespeichers (104), der mit mindestens einer Personenbeförderungsanlage (102A, 102B, 102C) assoziiert ist, wobei das Verfahren umfasst:
    kontinuierliches Überwachen von Leistungsdaten des mindestens einen Energiespeichers (104);
    Erhalten erster Daten, die mit Betreiben der mindestens einen Personenbeförderungsanlage (102A, 102B, 102C) assoziiert sind;
    Identifizieren von verschiedenen Verwendungen (300, 302, 304, 306, 308) für die in dem mindestens einen Energiespeicher (104) gespeicherte Energie;
    dadurch gekennzeichnet, dass das Verfahren ferner umfasst:
    Bestimmen einer Zuweisung von Energiespeicher (104)-Kapazität, die für verschiedene Verwendungen (300, 302, 304, 306, 308) zur Verfügung steht, auf Grundlage der Leistungsdaten und der ersten Daten; und
    Anwenden der bestimmten Zuweisung.
  2. Verfahren nach Anspruch 1, wobei die ersten Daten mindestens eines von Verkehrsprognosedaten oder Lastprognosedaten der mindestens einen Personenbeförderungsanlage (102A, 102B, 102C) umfassen.
  3. Verfahren nach einem der Ansprüche 1 bis 2, ferner umfassend:
    Erhalten zweiter Daten von mindestens einer externen Datenquelle (106), wobei die zweiten Daten unabhängig vom Betreiben der mindestens einen Personenbeförderungsanlage (102A, 102B, 102C) sind; und
    Bestimmen der Zuweisung der Energiespeicher (104)-Kapazität, die für die verschiedenen Verwendungen (300, 302, 304, 306, 308) zur Verfügung steht, auf Grundlage der Leistungsdaten, der ersten Daten und der zweiten Daten.
  4. Verfahren nach Anspruch 3, wobei die zweiten Daten mindestens eines umfassen von Wettervorhersagedaten, Nutzsignaldaten, Netzfrequenzmessdaten, Solar-Photovoltaik-Lastprofildaten, Gebäudelastdaten, Stromkostendaten oder Demand-Response-Marktdaten.
  5. Verfahren nach einem der Ansprüche 1 bis 4, wobei das Bestimmen einer Zuweisung von Energiespeicher (104)-Kapazität, die für verschiedene Verwendungen (300, 302, 304, 306, 308) zur Verfügung steht, das Bestimmen von Zuweisung für mindestens eines umfasst von Demand-Response, Frequenzregulierung, Spitzenleistungsreduzierung, Solar-Photovoltaik-Optimierung oder Notstromversorgung für die mindestens eine Personenbeförderungsanlage (102A, 102B, 102C).
  6. Verfahren nach einem der Ansprüche 1-5, wobei die Leistungsdaten mindestens eines von einem Ladezustand, einem Ladezyklus, einem Lastprofil, einem Gesundheitszustand oder dem maximalen Lade- und Entladestrom oder der maximalen Leistung des mindestens einen Energiespeichers (104) umfassen.
  7. Verfahren nach einem der Ansprüche 1-6, ferner umfassend:
    Senden von Daten, die sich auf eine Zuweisung von Energiespeicher (104)-Kapazität beziehen, die verfügbar ist für mindestens eines von Demand-Response, Frequenzregulierung, Netzspannungsregulierung oder lokalen Optimierungsverwendungen erneuerbarer Energien, an eine externe Steuerungsplattform (108);
    Empfangen eines Aktivierungssignals von der externen Steuerungsplattform (108), das anweist, Stromnetzausgleichsfunktionen zu implementieren; und
    Berücksichtigen des Aktivierungssignals beim Bestimmen der Zuweisung der für die verschiedenen Verwendungen (300, 302, 304, 306, 308) verfügbaren Energiespeicher (104)-Kapazität.
  8. Energiespeicherverwaltungssystem (100) zum Zuweisen von Kapazität mindestens eines Energiespeichers (104), der mit mindestens einer Personenbeförderungsanlage (102A, 102B, 102C) assoziiert ist, wobei das System umfasst:
    Mittel (402, 402) zum kontinuierlichen Überwachen von Leistungsdaten des mindestens einen Energiespeichers (104);
    Mittel (402, 404) zum Erhalten erster Daten, die mit Betreiben der mindestens einen Personenbeförderungsanlage (102A, 102B, 102C) assoziiert sind;
    Mittel (402, 404) zum Identifizieren von verschiedenen Verwendungen (300, 302, 304, 306, 308) für die in dem mindestens einen Energiespeicher (104) gespeicherte Energie;
    dadurch gekennzeichnet, dass das System ferner umfasst:
    Mittel (402, 404) zum Bestimmen einer Zuweisung von Energiespeicher (104)-Kapazität, die für verschiedene Verwendungen (300, 302, 304, 306, 308) zur Verfügung steht, auf Grundlage der Leistungsdaten und der ersten Daten; und
    Mittel (402, 404) zum Anwenden der bestimmten Zuweisung.
  9. System (100) nach Anspruch 8, wobei die ersten Daten mindestens eines von Verkehrsprognosedaten oder Lastprognosedaten der mindestens einen Personenbeförderungsanlage (102A, 102B, 102C) umfassen.
  10. System (100) nach Anspruch 8 oder 9, ferner umfassend:
    Mittel (402, 404) zum Erhalten zweiter Daten von mindestens einer externen Datenquelle (106), wobei die zweiten Daten unabhängig vom Betreiben der mindestens einen Personenbeförderungsanlage (102A, 102B, 102C) sind; und
    Mittel (402, 404) zum Bestimmen der Zuweisung der Energiespeicher (104)-Kapazität, die für die verschiedenen Verwendungen (300, 302, 304, 306, 308) zur Verfügung steht, auf Grundlage der Leistungsdaten, der ersten Daten und der zweiten Daten.
  11. System (100) nach Anspruch 10, wobei die zweiten Daten mindestens eines umfassen von Wettervorhersagedaten, Nutzsignaldaten, Netzfrequenzmessdaten, Solar-Photovoltaik-Lastprofildaten, Gebäudelastdaten, Stromkostendaten oder Demand-Response-Marktdaten.
  12. System (100) nach einem der Ansprüche 9 -11, wobei die Mittel (402, 404) zum Bestimmen einer Zuweisung von Energiespeicher (104)-Kapazität, die für verschiedene Verwendungen (300, 302, 304, 306, 308) zur Verfügung steht, eingerichtet sind, die Zuweisung für mindestens eines von einer Demand-Response, Frequenzregulierung, Spitzenleistungsreduzierung, Solar-Photovoltaik-Optimierung oder Notstromversorgung für die mindestens eine Personenbeförderungsanlage (102A, 102B, 102C) zu bestimmen.
  13. System (100) nach einem der Ansprüche 8-12, wobei die Leistungsdaten mindestens eines von einem Ladezustand, einem Ladezyklus, einem Lastprofil, einem Gesundheitszustand oder dem maximalen Lade- und Entladestrom oder der maximalen Leistung des mindestens einen Energiespeichers (104) umfassen.
  14. System (100) nach einem der Ansprüche 8 - 13, ferner umfassend:
    Mittel (402, 404) zum Senden von Daten, die sich auf eine Zuweisung von Energiespeicher (104)-Kapazität beziehen, die verfügbar ist für mindestens eines von Demand-Response, Frequenzregulierung, Netzspannungsregulierung oder lokalen Optimierungsverwendungen erneuerbarer Energien, an eine externe Steuerungsplattform (108);
    Mittel (402, 404) zum Empfangen eines Aktivierungssignals von der externen Steuerungsplattform (108), das anweist, Stromnetzausgleichsfunktionen zu implementieren; und
    Mittel (402, 404) zum Berücksichtigen des Aktivierungssignals beim Bestimmen der Zuweisung der für die verschiedenen Verwendungen (300, 302, 304, 306, 308) verfügbaren Energiespeicher (104)-Kapazität.
  15. Computerprogramm, umfassend einen Programmcode, um das Energiespeicherverwaltungssystem (100) nach einem der Ansprüche 8-14 zu veranlassen, das Verfahren nach einem der Ansprüche 1 - 7 durchzuführen.
  16. Computerlesbares Medium, umfassend einen Programmcode, um das Energiespeicherverwaltungssystem (100) nach einem der Ansprüche 8-14 zu veranlassen, das Verfahren nach einem der Ansprüche 1 - 7 durchzuführen.
EP17200334.5A 2017-11-07 2017-11-07 Energiespeicherverwaltungssystem Active EP3480153B1 (de)

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EP17200334.5A EP3480153B1 (de) 2017-11-07 2017-11-07 Energiespeicherverwaltungssystem
US16/168,502 US11891272B2 (en) 2017-11-07 2018-10-23 Energy storage management system
CN201811311501.6A CN109755946A (zh) 2017-11-07 2018-11-06 储能管理系统

Applications Claiming Priority (1)

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EP17200334.5A EP3480153B1 (de) 2017-11-07 2017-11-07 Energiespeicherverwaltungssystem

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CN110633854A (zh) * 2019-09-16 2019-12-31 长沙理工大学 一种考虑储能电池多重分段服务全生命周期优化规划方法
CN116207835B (zh) * 2023-02-13 2024-01-09 深圳市玩咖科技有限公司 一种汽车应急电源的分配管理系统及方法

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FI115130B (fi) * 2003-11-03 2005-03-15 Kone Corp Menetelmä ja laite hissiryhmän ohjaamiseksi
FI120092B (fi) * 2005-12-30 2009-06-30 Kone Corp Hissijärjestelmä ja menetelmä kokonaistehon pienentämiseksi hissijärjestelmässä
FI120447B (fi) * 2008-08-21 2009-10-30 Kone Corp Hissijärjestelmä sekä hissiryhmän ohjausmenetelmä
EP2500309A1 (de) * 2011-03-18 2012-09-19 Inventio AG Energieverwaltungssystem für solarbetriebene Liftanlage
TWI610875B (zh) * 2012-12-18 2018-01-11 伊文修股份有限公司 控制方法、升降設備及複合式升降設備
CN104995116B (zh) * 2013-02-14 2018-03-20 奥的斯电梯公司 电池供电的电梯系统中的电梯轿厢速度控制
US10308476B2 (en) * 2013-10-08 2019-06-04 Otis Elevator Company Elevator control system having controller in communication with power provider

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